ARTICLE | doi:10.20944/preprints202308.1356.v1
Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: model; drug resistance tuberculosis; collaboration
Online: 18 August 2023 (11:35:08 CEST)
Infectious illnesses have always posed a threat to human health, with tuberculosis being a major concern. The use of various medications and antibiotics in the fight against such TB has led to the emergence of drug-resistant tuberculosis, which has become increasingly difficult to manage. While there have been a few studies and proposed conceptual models on how to manage and prevent various drug-resistant TB mutations and lineages, a model aimed at limiting and con-trolling such mutations in rural areas burdened with tuberculosis is lacking. This study seeks to map a model that is to be used to bridge the gap by facilitating the exchange of knowledge among healthcare professionals in healthcare facilities, diagnostic laboratories, and research institutes, particularly for underprivileged communities in the Eastern Cape. The model will also serve as a guide to monitor and evaluate epidemiological TB management plans.
ARTICLE | doi:10.20944/preprints202306.0789.v1
Subject: Social Sciences, Behavior Sciences Keywords: collaboration; empowerment; organic farming; sustainable
Online: 12 June 2023 (07:33:43 CEST)
In the era of disruption, to achieve food sustainability and the SDGs, Indonesia is faced with changes in the values, attitudes, and behavior of the community to be adaptive to environmental and technological changes. This study aims to analyze the factors that influence social transformation in peri-urban communities and their impact on food sustainability and the achievement of SDGs. The research method is a qualitative approach, triangulated by conducting in-depth interviews, field observations, and focus group discussion (FGD) in two districts. The results showed that factors influencing social transformation in peri-urban communities include: strengthening public awareness of the importance of food sustainability, access to information and technology, collaborative synergetic of government, companies, academics, and community participation in decision-making on empowerment programs. This social transformation leads to increased food production and poverty reduction. Private facilitators through CSR programs play a role in achieving food sustainability and achieving several SDG indicators related to poverty. The occurrence of collaborative synergetic between community participation, extension workers, village government, media utilization, academics, and companies contributes significantly to transforming the values, attitudes, and behavior of people managing community resources.
REVIEW | doi:10.20944/preprints202104.0230.v1
Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: interprofessional collaboration; nurse; patient safety
Online: 8 April 2021 (10:29:07 CEST)
Patient safety is one of the indicators of the quality of health services in the hospital, for that, it is necessary to have efforts from the hospital to create a system that can minimize the occurrence of errors and unexpected events that can harm patients, nurses as health workers who are the most numerous in the home. sick and with the patient for 24 hours, has an important role in maintaining patient safety. This study aims to explain how the role of nurses and cooperation between health workers in implementing patient safety measures in the hospital. The method used in this study is a literature review by analyzing and exploring relevant articles and focusing on interprofessional collaboration to improve patient safety. The articles used in this study were taken from 3 direct, Proquest, Pubmed science databases published in the last 3 years, namely between 2019-2021, nurses as part of the health team are required to be able to work together with other health professionals in hospitals with various characteristics, including education, gender, age, employment status and length of work, nurses are required to be committed to maintaining patient safety in the hospital.
REVIEW | doi:10.20944/preprints202303.0113.v1
Subject: Social Sciences, Education Keywords: Self-regulation; Peer collaboration; online learning; communication
Online: 6 March 2023 (16:08:35 CET)
In this unprecedented era of computer-supported and distance learning, it is critical to rethink the way students are supported through vital skills like self-regulation and peer collaboration. A variety of digital media has emerged, allowing learners autonomy while requiring the ability to effectively regulate different components of the educational process for long-term academic success. We reviewed collaboration, communication, and self-regulation in digital learning environments as part of online learning. We discussed how these abilities are reflected in highly cited content. High-impact factor studies were identified using advanced software Herzing Publish or Perish to retrieve highly cited research publications metrics. The search resulted in 272 records from 2010 to 2022, 192 duplicates were identified to remove and 48 JCR articles were shortlisted for review. We examined and reflected on sufficient connections to make firm judgments about correlations of concepts. The review identified prominent themes surfaced in the high impact factor academic publication e.g., digital learning environment, interaction, engagement, feedback, self-efﬁcacy, motivation, meta-cognition, achievement, technology, blended learning, and orientation of ICT. Many studies support different features of SRL & PCL through different tools, access to educators or feedback, encouragement, and through peers. However, all of them discuss the processes that students use to self-regulate learning in these situations. It is suggested to examine whether the effectiveness of certain SRL processes varies by online learning mode.
ARTICLE | doi:10.20944/preprints202211.0517.v1
Subject: Engineering, Architecture, Building And Construction Keywords: Commitment; Collaboration; Trust; Construction projects; Artificial Intelligence
Online: 28 November 2022 (13:42:19 CET)
The construction sector has begun to embrace the digital revolution, intending to improve efficiency. How, on the other hand, should the industry adopt digital tools? And how should the connection between humans and technology function? This study aims to shed light on how the construction sector may bridge the gap between AI deployments’s potential and realized advantages. This article presents research based on a comprehensive review of the literature, case studies of Speller Metcalfe, a design-build and refurbishment project in Malvern, England, Jacobsen Construction, a project digitizing the planning process in Salt Lake City, Utah, USA, and Menkes Development Inc., real-time visibility to construction site insights and data-driven decision-making in Toronto, Canada. The experiences gained via this study show that it is feasible to acquire expertise while adopting sophisticated technologies, such as artificial intelligence, by installing fundamental digital tools (AI). However, when it comes to AI, the level of trust between humans and machines will be the deciding element in its success. This article is a pioneering effort in examining the deployment of AI and how people and technology should interact. This study is limited to three case studies and three digital technologies. To further the study, it is suggested to debate the adaptation of AI on the user's premises, gather more empirical data, and examine case studies from different sectors.
CONCEPT PAPER | doi:10.20944/preprints202106.0640.v1
Subject: Social Sciences, Psychology Keywords: Good Lives Model; Violence; Intervention; Interagency collaboration
Online: 28 June 2021 (10:45:42 CEST)
Violence is a complex and multifaceted problem requiring a holistic and individualized response. The Good Lives Model (GLM) suggests violence occurs when an individual experiences internal and external obstacles in the pursuit of universal human needs (termed primary goods). With a twin focus, GLM-consistent interventions aim to promote attainment of primary goods, whilst simultaneously reducing risk of reoffending. This is achieved by improving an individuals’ internal (i.e., skills and abilities) and external capacities (i.e., opportunities, environments, and resources). This paper proposes that collaborations between different agencies (e.g., psychological services, criminal justice systems, social services, education, community organizations and healthcare) can support the attainment of primary goods through the provision of specialized skills and resources. Recommendations for ensuring interagency collaborations are effective are outlined, including embedding a project lead, regular interagency meetings and training, establishing information sharing procedures, and defining the role each agency plays in client care.
ARTICLE | doi:10.20944/preprints202102.0096.v1
Subject: Engineering, Automotive Engineering Keywords: Collision avoidance; redundant manipulators; human-robot collaboration
Online: 2 February 2021 (16:38:53 CET)
This paper presents a framework for the motion planning and control of redundant manipulators with the added task of collision avoidance. The algorithms that were previously studied and tested by the authors for planar cases are here extended to full mobility redundant manipulators operating in a three-dimensional workspace. The control strategy consists of a combination of off-line path planning algorithms with on-line motion control. The path planning algorithm is used to generate trajectories able to avoid fixed obstacles, detected before the robot starts to move; it is based on the potential fields method combined with a smoothing interpolation that exploits Bézier curves. The on-line motion control is designed to compensate for the motion of the obstacles and to avoid collisions along the kinematic chain of the manipulator; it is realized by means of a velocity control law based on the null space method for redundancy control. A term of the control law takes into account the speed of the obstacles as well as their position. In order to test the algorithms, a set of simulations are presented: the robot KUKA LBR iiwa is controlled in different cases, where fixed or dynamic obstacles interfere with its motion. Simulations are also used to estimate the required computational effort in order to verify the transferability to a real system.
ARTICLE | doi:10.20944/preprints201811.0426.v1
Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: sustainability; governance; piecemeal engineering; collaboration; Karl Popper
Online: 19 November 2018 (07:05:11 CET)
The challenges to sustainability governance across multiple geographical/cultural contexts lead us to the “piecemeal engineering” idea advocated by the philosopher Karl Popper, which explicitly considers context. We argue for adopting the piecemeal engineering approach, augmented by adaptive policies and modern (online) collaboration platforms to maximize the prospects of sustainable practices worldwide. This recommended course is not intended to be a theory in itself. Rather, it is a well-grounded, practical and practicable stop-gap measure in times when complexity and change outpace theories and strategies. We present a philosophical foundation for this “Augmented Popperian Experimentation.” Focusing on The Water Network (the largest collaborative platform for water researchers and professionals), we show that sustainability-oriented organizations in the water realm and others are inching toward the practice we advocate. We discuss implications.
ARTICLE | doi:10.20944/preprints202308.1857.v1
Subject: Arts And Humanities, Humanities Keywords: collaboration; gamification; game-based; massification; student engagement; talent
Online: 29 August 2023 (02:31:28 CEST)
Massification in higher education has made the satisfaction of students’ needs a difficult conundrum among university lecturers. In contrast, the use of innovative design for collaborative learning enhances student engagement in the populous student’s context. Moreover, this paper aims to extensively explore innovative designs for fostering student engagement and collaborative learning among first-year students at the University of Venda. The study employed a qualitative research method with the purposive sampling technique. Subsequently, a group of 200 students was the population of this study. Participant Observation and narrative inquiry were used as data collection instruments. The students in their respective groups were assigned topics from the module content to use their talents to demonstrate their understanding of certain content in the module. The non-surprising findings of this paper elucidated that collaborative learning expedites students’ mastery of key concepts and subject content. The module lecturers introduced students to these innovative designs to ensure collaborative learning and effective student engagement. The key findings elucidated these aspects namely, role-playing exercises, group projects, peer-to-peer learning, use of talents, and peer feedback. The implication of this study is that students learn to work together, delegate responsibilities and communicate effectively to attain a common goal. Using these strategies, the lecturers promote collaboration among students and foster a more engaging and interactive learning experience. This paper further recommends efficient and effective techniques and strategies to foster student engagement and collaboration to track and monitor at-risk students timeously.
ARTICLE | doi:10.20944/preprints202308.0224.v1
Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Keywords: Model; Drug resistance TB, Collaboration and Integration
Online: 3 August 2023 (08:17:13 CEST)
Infectious illnesses have always posed a threat to human health, with tuberculosis (TB) being a major concern. The use of various medications and antibiotics in the fight against such illnesses has led to the emergence of drug-resistant infectious diseases, which have become increasingly dif-ficult to manage as medical and scientific research has advanced. Inadequate medical infrastruc-ture, incorrect treatment practices that exacerbate resistance patterns, and transmission within communities and healthcare facilities are the main factors contributing to the spread of drug-resistant TB. Though treating individuals with multiple drug resistance (MDR) and extreme drug resistance (XDR) strains is challenging, early identification of resistance and the imple-mentation of a well-designed treatment regimen can result in a cure. Community-based inter-ventions that address socioeconomic barriers to adherence can also enhance treatment outcomes. While there have been few studies and proposed conceptual models on how to manage and prevent various drug-resistant TB mutations and lineages, a model aimed at limiting and controlling such mutations has been developed. This paradigm seeks to bridge the gap by facilitating the exchange of knowledge among healthcare professionals (HCP) in healthcare facilities (HCF), diagnostic laboratories (DL), and research institutes (RI), particularly for underprivileged communities in the Eastern Cape. The model guide will also monitor and evaluate TB management plans
REVIEW | doi:10.20944/preprints202104.0040.v1
Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Nursing Treatments; Nursing Collaboration; Postpartum Hemorrhage; Maternal Mortality
Online: 2 April 2021 (14:36:31 CEST)
Postpartum hemorrhage is a complication during the puerperium that requires serious management, because it risks on threatening the mother's death. Currently, postpartum hemorrhage is still the main cause of maternal morbidity and mortality in the world. There is a need for a fast, precise and comprehensive handling effort involving all elements, such as the entire health team including doctors-nurses and families. The form of nursing intervention in postpartum hemorrhage patients can be in the form of nursing treatment or collaboration. The purpose of this review literature is to identify nursing treatment and nursing collaboration in postpartum hemorrhage patients as an effort to prevent maternal death. The writing method uses literature reviews by summarizing 10 articles publicated in 2019, 2020 and 2021 in 4 search data bases including Sciencedirect, Scopus, Proquest and Thompson. The review guidelines used are based on Prisma and the Joanna Briggs Institutute. The level of eligibility is identified through the title, abstract, research methodology and full text. The results of the reviews found are presented in a narrative form. The results of the review study found that there were 10 articles on postpartum hemorrhage management measures both in the effort of snoring treatment and collaboration including: optimizing the competence of service providers based on E_Learning , foot reflexology since the 4th stage of labor, 800 mcg sublingual Misoprostol, the use of the Digital Postpartum Hemorrhage Management Device ( DPHMD), bilateral-contralateral cervical clamps, suction tube uterine tampons, bilateral hypogastric artery (BHAL), evaluation of Shock Index, Carbetocin drugs and administration of Tranexamic acid 1 gram IV within 10 minutes of vaginal delivery. The conclusion of this review literature is that nursing treatment and nursing collaboration are proven to have a positive impact as an effort to prevent death in postpartum hemorrhage patients.
ARTICLE | doi:10.20944/preprints201912.0321.v1
Subject: Business, Economics And Management, Business And Management Keywords: sustainability; project management; collaboration; business arrangement; maintenance; infrastructure
Online: 24 December 2019 (11:25:09 CET)
The need to consider sustainability has substantially increased the complexity of implementing construction and infrastructure projects and new management practices have emerged during the past decade to tackle the global sustainability challenges, where the engagement and coordination of broader competences from stakeholders throughout the supply chain is required. This new project management paradigm has been accompanied by greater attention to the concept of collaborative business arrangements, often called partnering, that has emerged in construction and infrastructure projects to improve project deliveries. However, there are uncertainties about the optimal strategy to foster, integrate and maintain the required collaboration, particularly in sustainable management practices in infrastructure maintenance projects. This paper addresses these uncertainties, based on a single case study of an infrastructure maintenance contract involving an extensive collaborative business arrangement. The findings reveal that different collaborative practices affect diverse aspects of sustainable project management. Further, the extensive collaborative business arrangement has promoted sustainable deliveries based upon organizational learning and continuous improvements. Thus, this study offers an encouraging example of how extensive collaboration can be fostered and play a key role in sustainable project management practices.
ARTICLE | doi:10.20944/preprints201802.0183.v1
Subject: Social Sciences, Psychology Keywords: PILAR; CATME; collaboration; peer assessment; inter-rater bias
Online: 27 February 2018 (15:23:37 CET)
The PILAR model provides a dynamical systems perspective on collaboration. Two studies are performed using peer assessment data, both testing empirical support for the five Pillars (prospects, involved, liked, agency, respect) that constitute member’s perceptions of collaboration viability. The first study analyses peer-assessment data collected online from 458 first-year engineering students (404 males; 54 females). A nine-item instrument was inherited from past year’s usage in the course, expanded with four additional items to elaborate upon the agency and liked Pillars. Exploratory factor analysis was conducted on student responses to test whether they thematically aligned to constructs consistent with the five Pillars. As anticipated, twelve of the thirteen items grouped into five components, each aligned with a Pillar, providing empirical evidence that the five Pillars represent perceptions of collaboration. The second study replicated the first study using a retrospective analysis of 87 items included in the Comprehensive Assessment of Team Member Effectiveness (CATME) peer-assessment tool. The associated factor analyses resulted in five components and conceptual alignment of these components with Pillars was evident for three of five CATME components. We recommend a peer-assessment instrument based upon PILAR as potentially more parsimonious and reliable than an extensive list of behaviours, such as employed by CATME. We also recommend including items that target inter-rater bias, which is aligned with the liked Pillar, that instruments such as CATME exclude.
ARTICLE | doi:10.20944/preprints202208.0255.v1
Subject: Medicine And Pharmacology, Other Keywords: antimicrobial stewardship; implementation model; GP-pharmacist collaboration; primary care
Online: 15 August 2022 (10:29:33 CEST)
Interprofessional collaboration between general practitioners (GPs) and community pharmacists (CPs) is central to implement antimicrobial stewardship (AMS) programs in primary care. This study aimed to design a GP-pharmacist antimicrobial stewardship (GPPAS) model in Australian primary care. A seven-component exploratory study was conducted since 2017 to 2021 to inform a GPPAS model. We generated both secondary and primary evidence through a systematic review, a scoping review, a rapid review, nationwide surveys of Australian GPs and CPs including qualitative components and a pilot study of a GPPAS model. All study evidence was synthesised, reviewed, merged and triangulated to design a prototype GPPAS model using a Systems Engineering Initiative for Patient Safety theoretical framework. Secondary evidence informed effective GPPAS interventions, and primary evidence captured interprofessional issues, challenges and future needs to implement GPPAS interventions by GPs and CPs. A GPPAS model framework involving GP-pharmacist team-based five GPPAS sub-models were successfully designed to foster AMS education, antimicrobial audits, diagnostic stewardship, delayed prescribing, and routine review of antimicrobial prescription by improved GP-CP collaboration. A GPPAS model could be used as a guide to collaboratively optimise antimicrobial use by GPs and CPs. Implementation studies on GPPAS model and sub-models are required to integrate GPPAS model into GP-pharmacist interprofessional care models in Australia.
COMMUNICATION | doi:10.20944/preprints202201.0345.v1
Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Africa Phage Forum; Phages; Research; Collaboration; Network; Capacity development
Online: 24 January 2022 (11:14:10 CET)
The problem of antimicrobial resistance has created a new need for alternative/ complementary treatments. To this end, bacteriophages offer an exciting prospect, as they can infect and kill specific bacteria without harming the host. This survey aimed to evaluate the state of applied phage research in Africa, among the members of the Africa phage Forum (APF). This was a cross-sectional survey whereby a google form was created for the members of the Africa Phage forum to fill so as to access the stage of phage research in Africa. Data was collected between June and July 2021 using a structured questionnaire form. A total of 65 out of a total of 101 forum members completed the questionnaire. The survey indicated that a majority 68% of phage researchers in Africa were at the training stages of their career. Some available participants were limited (8%). Most of the members identified funding, lack of skill set, near absence of adequate laboratory infrastructure as major hurdles for phage research. Despite these challenges, 73.3% of APF members work with the ESKAPE group with the majority of its members carrying out research in Phage in Biocontrol (80%), whereas others perform research related to human phage therapy (60%). However, it appeared this research has not yet reached the stage of commercialization. Overall, Phage research is in its infancy in Africa. Key challenges included poor laboratory infrastructure, lack of capacity building in the phage field, and lack of local awareness on the significance of phages for policymakers and governments. APF could, therefore, play a role in creating phage awareness in Africa; mobilizing resources; enhancing networks and collaborations amongst APF members and beyond, especially with more experienced phage mentors in the Western countries, to greatly reduce the gap in knowledge and enhance phage research in Africa.
ARTICLE | doi:10.20944/preprints202107.0398.v1
Subject: Business, Economics And Management, Accounting And Taxation Keywords: Sustainability; Strategy; Control; Recycling; Collaboration; Standard; AM; CM; SME
Online: 19 July 2021 (09:23:21 CEST)
Additive manufacturing (AM) has been the core area of sustainable manufacturing commonly recognized for its high efficiency in enabling cost-effective production towards sustainability. There are three models this research constituted: In Collection-Recycling-Manufacturing (CRM) model, technologies and processes are benchmarked followed by Business model that evaluates industrial key criteria. However, these are insufficient for AM to effectively play dominant role as the realization requires human factors such as multi-entities authorities, policy making and AM society to initiate and execute the plan. Strategy control model focuses on human-centric approaches such as demography, population control, policy, regulations, and management. It investigates each nation’s demography, and enables strategy, plan and control to relocate overcrowding population to rural areas. It also produces robust workforce to support AM and materials recycling through the appropriate applications. Through the construction of AM and materials recycling, strategy control model creates job opportunities for those unemployed people. It further builds infrastructure for the livelihood of new residents and supports AM home-based business (HBB).
ARTICLE | doi:10.20944/preprints201804.0062.v1
Subject: Social Sciences, Decision Sciences Keywords: collaboration; leadership; push-pull technology; sustainability; transdisciplinary research; Ethiopia
Online: 5 April 2018 (04:47:49 CEST)
Transdisciplinary research approach requires that different scientists with their discipline-specific theories, concepts and methods find ways to work together with other societal players to solve a real-life problem. In order to put this into practice, Trans-disciplinary Action Research (TDR) approach was applied in this study using Push pull technology (PPT) as a boundary object. The study was conducted in Bako Tibe, Jimma arjo and Yayu Woredas (Districts) in the Oromia region of Ethiopia from August 2014 to April 2015. PPT is a biological based mechanism developed by researchers for stemborer pest control in maize. It involves inter-cropping maize with a stemborer moth-repellent silverleaf or Greenleaf Desmodium (push), and planting an attractive trap crop, Napier or Brachiaria grass (pull), around the maize crop. On farm PPT implementation was used to provide an opportunity for collaboration, interaction and learning among heterogeneous set of stakeholders comprising of researchers from Ethiopian Institute of Agricultural research and the practitioners from the ministry of agriculture and smallholder farmers/traders. The data was collected using mixed methods approach comprising of key informant interviews, Focus Group discussions, workshops, on-farm practical demonstrations and participant observations. The findings shows that; collaborative leadership provides a chance for the stakeholders to participate in the technology learning and decision making by enabling them to jointly contribute skills towards development, refinement and adaptation of PPT. In situations where there are conflicts, they are embraced and become opportunities for in-depth learning, finding solutions and adaptation rather than being sources of contradictions or misunderstandings. Leadership roles taken by farmers play a key role in terms of ability to reflect on their own practices and drawing on scientific explanations from researchers. It also enables them take lead in new technology implementation and information sharing in free and easy manner with fellow farmers and other stakeholders. Although PPT perennial nature of cropping provides opportunities for continuous stakeholder interaction and learning, it requires a personally committed leadership and formal institutional engagements for the sustainability of its activities spanning over several cropping seasons. Market forces and the involvement of private sector players also has a role to achieve this as shown from the involvement of individual farmers and traders in Desmodium and Brachiaria seed production, collection and distribution.
ARTICLE | doi:10.20944/preprints202205.0123.v1
Subject: Engineering, Energy And Fuel Technology Keywords: wind energy; digitalisation; collaboration; co-innovation; machine learning; fault detection
Online: 10 May 2022 (03:05:25 CEST)
In the next decade, further digitalisation of the entire wind energy project lifecycle is expected to be a major driver for reducing project costs and risks. In this paper, a literature review on the challenges related to implementation of digitalisation in the wind energy industry is first carried out, showing that there is a strong need for new solutions that enable co-innovation within and between organisations. Therefore, a new collaboration method called the WeDoWind Ecosystem is developed and demonstrated. The method is centred around specific "challenges", which are defined by "challenge providers" within a topical "space" and made available to participants via a digital platform. The data required in order to solve a particular "challenge" is provided by the "challenge providers" under the confidentiality conditions they specify. The method is demonstrated via a case study, the EDP Wind Turbine Fault Detection Challenge. Six submitted solutions using diverse approaches are evaluated. Two of the methods perform significantly better than EDP’s existing method in terms of Total Prediction Costs (saving up to €120,000). The WeDoWind Ecosystem is found to be a promising solution for enabling co-innovation in wind energy, providing a number of tangible benefits for both challenge and solution providers.
ARTICLE | doi:10.20944/preprints202010.0644.v1
Subject: Business, Economics And Management, Accounting And Taxation Keywords: scientific social network; knowledge network; academic research; knowledge transfer; collaboration
Online: 30 October 2020 (14:39:31 CET)
Scientific social networking sites like Researchgate or Academia.edu have become part of the work practice of academic researchers. These digital platforms have been designed precisely to encourage the exchange of knowledge between scholars and to help the expansion of collaborative networks among them. Even if studies on this topic have multiplied in recent years, there is a dearth of research on the actual impact of these platforms on scientific production. The goal of this study is to investigate the relation between the attitude of researchers towards scientific social networks and the use of knowledge in their scientific work. Data from users of the scientific social networking site Researchgate were collected. A total of 143 valid responses were received and structural equation modeling was applied for data analysis. Findings of this study confirmed that researchers use knowledge obtained from scientific social networking sites both incorporating it within their research products and to acquire new competences. In particular approaching the platform as a scientific community with a shared language and a shared vision was found to have a positive impact on knowledge use. To the best knowledge of the authors this is the first study investigating the actual use of knowledge from scientific social networking sites by academic researchers. Results help to understand the impact of these platforms on the work practice of a strategic sector like scientific research.
ARTICLE | doi:10.20944/preprints201809.0317.v1
Subject: Computer Science And Mathematics, Information Systems Keywords: sensor collaborations; sensor trustworthiness; dynamic moving sensor collaboration; sensor calibration
Online: 17 September 2018 (14:52:57 CEST)
Wireless Sensor Network is an emerging technology and the collaboration of wireless sensors becomes one of the active research areas to utilize sensor data. Various sensors collaborate to recognize the changes of a target environment, to identify, if occurs, any radical change. For the accuracy improvement, the calibration of sensors has been discussed, and sensor data analytics are becoming popular in research and development. However, they are not satisfactorily efficient for the situations where sensor devices are dynamically moving, abruptly appearing or disappearing. If the abrupt appearance of sensors is a zero-day attack and the disappearance of sensors is an ill-functioning comrade, then sensor data analytics of untrusted sensors will result in an indecisive artifact. The pre-defined sensor requirements or meta-data based sensors verification is not adaptive to identify dynamically moving sensors. This paper describes a deep-learning approach to verify the trustworthiness of sensors by considering the sensor data only, without having to use meta-data about sensors or to request consultation from a cloud server. The contribution of this paper includes 1) quality preservation of sensor data for mining analytics and 2) authenticity verification of dynamically moving sensors with no external consultation.
ARTICLE | doi:10.20944/preprints202311.0861.v1
Subject: Public Health And Healthcare, Health Policy And Services Keywords: Child-Friendly City; Cross-sectoral Collaboration; Confirmatory Factor Analysis; Validity; Reliability
Online: 14 November 2023 (09:05:02 CET)
There is currently no set of instruments or procedures to evaluate the effectiveness of cross-sectoral collaboration in the current CFC program. This study aimed to develop a tool for evaluating the cross-sectoral contributions to the CFC program. A paper-based questionnaire was developed by the research team after a preliminary qualitative procedure, and it was subsequently employed to collect data. This process resulted in 17 indicators (41 items) of cross-sectoral collaboration in the development of the CFC in Makassar. These indicators were categorized into five dimensions: governance, administration, autonomy, mutuality, and norms. There were 32 items remaining after several items that were determined not to correspond with the model were eliminated prior to the CFA analysis. According to the CFA results, the five-domain model corresponded to the data with standardized loading factor (SLF)<0.5, indicating that the convergent validity of SLF was acceptable. In addition, these results suggested that the items employed in the tool were really significant in reflecting these five domains. The developed and validated tool was expected to be beneficial in evaluating cross-sectoral collaboration in the CFC program developed in Makassar City. The findings of this study would serve as a benchmark indicator, enabling the assessment process to gauge the significance with which a city is developing with cross-sectoral restriction measures.
ARTICLE | doi:10.20944/preprints202306.1810.v1
Subject: Engineering, Architecture, Building And Construction Keywords: general contracting engineering supply chain; collaboration; profit distribution; Cobb-Douglas function
Online: 26 June 2023 (12:05:35 CEST)
To solve the benefit allocation problem between the subjects of the supply chain of general contracting projects. The Cobb-Douglas function is applied to establish the benefit distribution model when the two cooperate in the supply chain system, analyze the optimal benefit situation of one-time cooperation between the two parties under two modes of egoistic decision and collectivistic decision as well as the benefit distribution problem of multiple cooperation, and conduct numerical simulation to calculate the functional relationship between each decision variable and the contribution degree of the general contractor under different effort cost coefficients. The results show that：In the case of one-time cooperation between general contractors and subcontractors, regardless of the decision mode, the degree of effort of both parties is positively related to their own contributions and negatively related to each other's contributions; the overall benefit of the supply chain system is positively proportional to the degree of contribution of the general contractor and inversely proportional to the share of benefit distribution of the subcontractor; in multiple cooperation, the equilibrium result of both parties achieving Pareto optimality at each stage is that both parties choose to cooperate.
ARTICLE | doi:10.20944/preprints202212.0456.v1
Subject: Arts And Humanities, Archaeology Keywords: Chagga; water infrastructures; water management; sustainable farming; social complexity; community collaboration
Online: 23 December 2022 (09:00:41 CET)
Since the second half of the second millennium AD, water management among the Chagga people of Kilimanjaro in Tanzania has involved community collaboration in the construction, ownership and management of water infrastructure. Chagga settlement on the lower slopes of Kilimanjaro transformed the landscape significantly to reflect an agrarian society characterised by decentralised forms of socio-political and economic organisation. Such organization involved conception, construction, and post-construction management of water distribution systems, constituting high-level socio-political complexity. The study employs ethnography, archaeological surveys and GIS to document water infrastructures on the lower slopes of Kilimanjaro. We conclude that community collaboration was key in management of the water infrastructure and by extension, agriculture, which sustained Chagga and chiefdoms for centuries.
Subject: Environmental And Earth Sciences, Environmental Science Keywords: Transboundary management; biodiversity; species distributions; Exclusive Economic Zones; marine conservation; collaboration
Online: 20 May 2021 (10:14:11 CEST)
Marine species are declining at an unprecedented rate, catalyzing many nations to adopt conservation and management targets within their jurisdictions. However, marine species and the biophysical processes that sustain them are naive to international borders. An understanding of the prevalence of cross-border species distributions is important for informing high-level conservation strategies, such as bilateral or regional agreements. Here, we examined 28,252 distribution maps to determine the number and locations of transboundary marine plants and animals. Over 90% of species have ranges spanning at least two jurisdictions, with 58% covering more than ten jurisdictions. All jurisdictions have at least one transboundary species, with the highest concentrations of transboundary species in the USA, Australia, Indonesia, and the Areas Beyond National Jurisdiction. Distributions of mapped biodiversity indicate that overcoming the challenges of multinational governance is critical for a much wider suite of species than migratory megavertebrates and commercially exploited fish stocks—the groups that have received the vast majority of multinational management attention. To effectively protect marine biodiversity, international governance mechanisms (particularly those related to the Convention on Biological Diversity, the Convention on Migratory Species, and Regional Seas Organizations) must be expanded to promote multinational conservation planning, and complimented by a holistic governance framework for biodiversity beyond national jurisdiction.
ARTICLE | doi:10.20944/preprints202103.0389.v1
Subject: Business, Economics And Management, Accounting And Taxation Keywords: Communication; leadership; communion; technology-mediated learning; supportive collaboration; teacher-student communication
Online: 15 March 2021 (13:45:12 CET)
This qualitative inquiry explores how, during the early stage of the COVID-19 pandemic in Lithuania (European Union), the stakeholders in education system – university teachers, general education teachers, students and children’s parents – coped with the encountered challenge and what was important to them under changed conditions. This paper uses a communication management objective to describe how participants in the education system respond to the emerging distance learning situation and its challenges.The phenomenographic research approach was chosen to carry out the qualitative study. The 37 interviews from higher education teachers, university students, school teachers and parents of minor school-aged children were conducted during the early stage of COVID-19 quarantine. The research allows concluding that after a successful transition to distance learning the dimensions of communion and supportive collaboration acquired importance among stakeholders in education. Starting new activities, a need for communion and mobilization for joint activities under the crisis situation emerged. The research showed that the adaptation period was necessary at the beginning of the new activity. Competent leadership was expected from the teacher also advance preparation of all the actors in education process was needed. The data do offer a window into the dynamics of online teaching in crisis situation and experiences in new activity that are key to success.
ARTICLE | doi:10.20944/preprints202009.0750.v1
Subject: Business, Economics And Management, Accounting And Taxation Keywords: Sustainability; SMEs; Supply Chain Collaboration; Supply Chain Visibility; Supply Chain Agility
Online: 30 September 2020 (14:26:12 CEST)
Today’s export-based manufacturers face the need to implement green supply chains more efficiently in order to overcome environmental barriers in increasingly competitive export markets and to improve export performance. This study examines the structural relationship between environmental collaboration, green innovation capacity, and performance based on the findings of previous studies in order to identify the factors affecting the green supply chain management (GSCM) performance of Korean export-based manufacturers. The study finds that environmental collaboration in the green supply chain environment is an important driver of green innovation capacity for export-based Korean manufacturers. It also finds that green innovation capacity has a positive effect on export performance through environmental performance. This study establishes a theoretical basis for the systematic study of the structural mechanisms of green supply chains and suggests strategic directions for export-based manufacturing firms’ successful GSCM implementation.
ARTICLE | doi:10.20944/preprints201607.0088.v2
Subject: Business, Economics And Management, Business And Management Keywords: joint patent application; the structure of collaboration; open innovation; long tail
Online: 29 July 2016 (06:48:53 CEST)
The way people innovate and create new ideas and bring them to the market is undergoing a fundamental change from closed innovation to open innovation. Why and how do firms perform open innovation? Firms’ open innovation is measured through the levels of firms’ joint patent applications. Next, we analyze network structures and characters of firms’ joint patent applications such as betweenness and degree centrality, structure hole, and closure. From this research, we drew conclusions as follows. First, the structure of collaboration networks has both direct and indirect effects on firms’ innovative performance. Second, in the process of joint patent applications, there is a long tail phenomenon in networks of joint patent applications. Third, the number of patents and International Patent Classification (IPC) subclasses together constitute a meaningful measure of the innovation performance of firms.
ARTICLE | doi:10.20944/preprints202310.0948.v1
Subject: Engineering, Bioengineering Keywords: Cognitive stress analysis; Human robot collaboration (HRC); Neuroimaging; EEG; fNIRS; Machine learning
Online: 16 October 2023 (10:24:26 CEST)
Collaborative robots (cobots) have largely replaced conventional industrial robots in today’s workplaces, particularly in manufacturing setups due to their improved performance and intelligent design. In the framework of Industry 5.0, humans are working alongside cobots to accomplish the required level of automation. However, human-robot interaction has brought up concerns regarding human factors (HF) and ergonomics. A human worker may experience cognitive stress as a result of cobots' irresponsive nature in unpredictably occurring situations, which adversely affects productivity. Therefore, there is a necessity to measure stress to enhance a human worker’s performance in a human-robot collaborative environment. In this study, factory workers’ mental workload has been assessed using physiological, behavioural, and subjective measures. Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals have been collected to acquire brain signals and track hemodynamic activity, respectively. The effect of task complexity, cobot’s movement speed, and cobot’s payload capacity on the mental stress of a human worker have been observed, for a task designed in the context of a smart factory. Task complexity and cobot’s speed have proved to be more impactful. As physiological measures are unbiased and more authentic means to estimate stress, eventually, they may replace the other conventional measures if they prove to correlate with the results of traditional ones. Here, regression and artificial neural networks (ANN) have been utilised to determine the correlation between physiological data and subjective and behavioural measures. Regression has performed better for most of the targets and the best correlation (rsq-adj = 0.654146) has been achieved for predicting missed beeps, behavioural measure, using a combination of multiple EEG and fNIRS predictors. The k-nearest neighbours (KNN) algorithm has been used to evaluate the accuracy of correlation between traditional measures and physiological variables, with highest accuracy of 77.8% achieved for missed beeps as the target. Results show that physiological measures can be more insightful and have the tendency to replace other biased parameters.
ARTICLE | doi:10.20944/preprints202304.0109.v1
Subject: Social Sciences, Library And Information Sciences Keywords: Bibliometric Analysis; Authorship Pattern; Authorship Study; Collaborative Authorship; Degree of Collaboration; Scopus
Online: 7 April 2023 (03:54:16 CEST)
The main objective of this study is to conduct a bibliometric analysis of scholarly publications of Authorship Pattern. The present study covers 1723 research papers published in the area of authorship pattern and indexed in Scopus database from the year 2013 to 2022. These research publications considered for the present study have been analysed based on their year wise growth, pattern of authorship, times citations, type of publication, most productive publication source as well as countries and institutions. The study shows the positive growth of the literatures with collaborative authorship pattern and good citation status. This original research paper will be helpful to the researchers of library and information science, especially who are working in the area of bibliometrics studies.
Subject: Engineering, Control And Systems Engineering Keywords: Model-based systems engineering (MBSE); Model informatics and analytics; Model-based collaboration
Online: 12 March 2021 (16:52:34 CET)
In MBSE there is yet no converged terminology. The term ’system model’ is used in different contexts in literature. In this study we elaborated the definitions and usages of the term ’system model’, to find a common definition. 104 publications have been analyzed in depth for their usage and definition as well as their meta-data e.g., the publication year and publication background to find some common patterns. While the term is gaining more interest in recent years it is used in a broad range of contexts for both analytical and synthetic use cases. Based on this three categories of system models have been defined and integrated into a more precise definition.
ARTICLE | doi:10.20944/preprints202011.0672.v1
Subject: Engineering, Automotive Engineering Keywords: Virtual Reality; Simulation; Industry 4.0; Human-Robot Collaboration; Citation Review; Citation Metrics
Online: 26 November 2020 (11:26:09 CET)
This article argues that despite a citation review is a rarely used research tool, this can be very useful to assess the impact of new research topics, both from the future research direction and the bibliometric perspectives. An explorative study is presented around the research area marked as Industry 4.0 with the conference paper mentioned in the title of this citation review. Even though the given reference paper is relatively recent, there are already twenty-seven citations listed among three different scholar databases. These are Google Scholar, ResearchGate and Semantic Scholar. In light of this, the article provides a bibliometric confirmation and analysis for the progression of the line of research adopted by de Giorgio et al. in the exploration of non-traditional methods using virtual reality technology and human-robot collaboration for adaptive applications in Industry 4.0. Furthermore, it represents a model for the authors’ self-development and an example of an unconventional approach to scientific work that may help improve related bibliometric research and scholar database strategies to index new articles and topics in the future.
ARTICLE | doi:10.20944/preprints201811.0432.v1
Subject: Engineering, Industrial And Manufacturing Engineering Keywords: energy flexibility; retail stores; influential factors; employee engagement; customer engagement; utility collaboration
Online: 19 November 2018 (08:37:27 CET)
Retail buildings can provide energy flexibility to the grid with the possibility of load shifting and building automation systems. Demand response is a collective innovation in the smart grid domain. Various stakeholders should be involved in the demand response activities to ensure the success. The owners or senior management of retail buildings need to consider the stakeholders who are directly influenced by the demand response participation, e.g. customers and employees. Meanwhile, demand response activities are influenced by various factors, such as energy market structure, policy, etc. Therefore, this paper investigates the demand response readiness for retail buildings with three aspects: energy control preferences, stakeholder engagement, and cross-national differences. A questionnaire is designed and collected with store managers in Denmark (N=51) and the Philippines (N=36). The result shows that: 1) retail stores are much readier to participate in the implicit demand response by manual energy control compared to the utility control or building automation. Meanwhile, store managers have significant concerns about business activities and indoor lighting compared to other aspects; 2) the statistically significant influential factors for retail stores to participate in the demand response are related to whether the DR participation matches the company goals, influences business operation, and whether retail stores are lack of related knowledge; 3) retail stores believe that stakeholders should be informed about the DR activities but not involved in; 4) there are significant differences regarding the energy control preferences and concerns between retail stores in Denmark and the Philippines, but no significant difference regarding the stakeholder engagement.
ARTICLE | doi:10.20944/preprints202211.0196.v1
Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: CSHCN; CMC; care coordination; case series; collaboration; medical complexity; medication management; methodology; pediatrics
Online: 10 November 2022 (10:04:10 CET)
Care coordination (CC) for children with special healthcare needs and medical complexity (CSHCN-CMC) is challenging, and medication management is especially difficult for providers, parents/caregivers, and patients alike. While numerous strategies for CC have been suggested and implemented, barriers to medication optimization remain. The report describes the creation of a pediatric clinical pharmacotherapy practice, related standard operating procedures to assure consistent application of screening tools and care provision through comprehensive medication management (CMM), and establishment of a collaborative practice agreement (CPA) to guide drug therapy delegation, monitoring, and modification. The methodology of a prospective case series is also presented to highlight drug therapy problems and their resolution in CSHCN-CMC. Future opportunities to expand the practice for engagement in population health management as well as prior authorization activities on behalf of physicians will be discussed.
REVIEW | doi:10.20944/preprints202203.0398.v1
Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: bibliometric analysis; Pubmed; rubella virus; research output; research collaboration; Biblioshiny; Bibliometrix; R-package
Online: 31 March 2022 (07:37:09 CEST)
Background: This work aimed to undertake a bibliometric analysis of the Rubella virus. Medical studies were conducted between 2000 and 2022 to discover trends, dynamics, and research outputs in the industry. Methods:A bibliometric study was performed using R software to determine research characteristics indexed worldwide and published in Rubella research in medical studies. The Rubella virus was chosen as the subject in the PUBMED database, and 374 papers from the previous two decades were reviewed. Results: There was an increase in the number of publications after 2003. The United States was the most essential countryamong all which had the most contributions on Rubella Virus. Conclusion:Rubella research has increased in the medical profession over the previous decade, with the United States leading to publications in this field.
ARTICLE | doi:10.20944/preprints202310.0016.v1
Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine learning; COVID-19; Working from home; Employees’ collaboration; Employees’ happiness; Employees’ promotion chances
Online: 1 October 2023 (09:48:40 CEST)
This research explores the impact of working from home on employees' happiness, collaboration, and promotion prospects using machine learning techniques. The study is guided by three research questions aiming to investigate the correlation between working from home and employees' collaboration and promotion prospects. Moreover, the research aims to find a relationship between the number of households and employees' happiness levels while working from home. The data is collected from ICT engineers working at a technology company in Sweden through a questionnaire-based survey. Probability sampling was selected for data collection to reduce bias and enhance the generalizability of the findings. The data is pre-processed and then analysed in Jupyter Notebook using the Python programming language. Various libraries and models, including Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn, were employed for data analysis. Both Pearson correlation and p-values in Pearson correlation were used in this study to analyse the relationships between different variables.However, based on the results, this study did not find any significant relationship between working from home and employees' promotion prospects or collaboration issues. Additionally, the results did not provide evidence of a significant relationship between the number of households of employees and their happiness levels while working from home.
ARTICLE | doi:10.20944/preprints202208.0423.v1
Subject: Social Sciences, Other Keywords: COVID-19; Cross-border travel; Immunity certificate; Regional collaboration; Vaccination certificate; Vaccination passport; Asia
Online: 24 August 2022 (13:54:00 CEST)
COVID-19 vaccination certificates (CVCs) have played a key role in safe reopening of borders for international travel and trade, so understanding key stakeholder perceptions of enablers and barriers for their effective use is critical. The COVID-19 Vaccination Policy Research and Deci-sion-Support Initiative in Asia (CORESIA) was established to address policy questions related to CVCs. We conducted two online surveys, i.e., one for the public and one for health and non-health sector experts, from June to October 2021 in nine Asian countries. Descriptive analysis identified participants, enablers, and barriers. Most participants (78% public, 89% experts) accepted the use of CVCs, primarily to resume international travel (76%). Most respondents in both surveys wanted the minimum vaccination coverage to be 60% before CVCs were implemented nation-wide. Most of the public (82%) agreed to maintain existing non-pharmaceutical interventions, while most experts wanted risk-based testing and quarantine policy for incoming travellers (51%) and both digital and paper format CVCs (64%). Support for CVCs for international travel remains high in Asia. Recognising key enablers and barriers for effective use of CVCs from COVID-19 pandemic may help policymakers draft effective border policies for future epidemics.
ARTICLE | doi:10.20944/preprints202101.0169.v1
Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Collaboration; annotate; WormBase; C. elegans; Course-based undergraduate research experience (CURE); genetics; scientific community
Online: 8 January 2021 (16:55:14 CET)
Course-based Undergraduate Research Experiences (CUREs) provide the same benefits as individual, mentored faculty research while expanding the availability of research opportunities. One important aspect of CUREs is student’s engagement in collaboration. We developed a partnership with the Caenorhabditis elegans (C. elegans) database, WormBase, in which students submitted annotations of published manuscripts to the website. This activity provided students with a collaborative research activity that benefitted the greater scientific community and enhanced students’ understanding of molecular genetics during the COVID-19 pandemic. WormBase relies on community annotators to read published articles and input phenotypic data. Students submitted a total of nine annotations directly to WormBase, which were curated by WormBase to ensure correctness and to reduce overlap from redundant annotations. Due to the stress on students during this time of crisis, qualitative data were collected in lieu of quantitative pre-post analyses. Students described their learning experiences in terms of interactions with the scientific community and the “real world”, content knowledge and competencies, and changes in perspectives and use of resources. Students also reported that this activity was helpful in their understanding of critical molecular genetics concepts. Most students reported on cognitive processes that represent mid-level Bloom’s categories. The shift to online learning during the COVID-19 pandemic created an immediate need for meaningful, collaborative experiences in CUREs. By partnering with WormBase, students gained insight into the scientific community and contributed as community members. We describe possible modifications for future courses, potential expansion of the WormBase collaboration, and future directions for quantitative analysis.
Subject: Engineering, Automotive Engineering Keywords: Safe physical Human-Robot Collaboration; collision detection; human action recognition; artificial intelligence; industrial automation
Online: 5 November 2020 (11:08:19 CET)
Digital enabled manufacturing systems require high level of automation for fast and low-cost production but should also present flexibility and adaptiveness to varying and dynamic conditions in their environment, including the presence of human beings; However, this presence of workers in the shared workspace with robots decreases the productivity as the robot is not aware about the human position and intention which leads to concerns about the human safety. This issue is addressed in this work by designing a reliable safety monitoring system for collaborative robots (Cobots). The main idea here is, to significantly enhance safety by a combination of recognition of human actions using visual perception and at the same time interpreting physical human-robot contact by tactile perception. Two datasets containing contact and vision data are collected by using different volunteers. The action recognition system classifies human actions using the skeleton representation of the latter when entering the shared workspace and the contact detection system distinguishes between intentional and incidental interactions if a physical contact between human and cobot takes place. Two different deep learning networks are used for human action recognition and contact detection which in combination, are expected to lead to the enhancement of human safety and an increase of the level of cobot perception about human intentions. The results show a promising path for future AI-driven solutions in safe and productive human–robot collaboration (HRC) in industrial automation.
ARTICLE | doi:10.20944/preprints201905.0112.v1
Subject: Engineering, Industrial And Manufacturing Engineering Keywords: industrial exoskeleton design; industrial exoskeleton control; human-robot collaboration; optimal control; empowering fuzzy control
Online: 9 May 2019 (12:53:59 CEST)
Exoskeleton robots are a rising technology in industrial contexts to assist humans in onerous applications. Mechanical and control design solutions are intensively investigated to achieve a high performance human-robot collaboration (e.g., transparency, ergonomics, safety, etc.). However, the most of the investigated solutions involve high-cost hardware, complex design solutions and standard actuation. In the presented work, an industrial exoskeleton for lifting and transportation of heavy parts is proposed. A low-cost mechanical design solution is proposed, exploiting compliant actuation at the shoulder joint to increase safety and transparency in human-robot cooperation. A hierarchic model-based controller is then proposed (including the modeling of the compliant actuator) to actively assist the human while executing the task. An inner optimal controller is proposed for trajectory tracking, while an outer fuzzy logic controller is proposed to online deform the task trajectory on the basis of the human’s intention of motion. A gain scheduler is also designed to calculate the optimal control gains on the basis of the performed trajectory. Simulations have been performed in order to validate the performance of the proposed device, showing promising results. The prototype is under realization.
ARTICLE | doi:10.20944/preprints201810.0652.v1
Subject: Business, Economics And Management, Business And Management Keywords: supply chain management; logistics; collaboration; cooperation; supply chain design; customer satisfaction; distribution; regression; noodles
Online: 29 October 2018 (04:45:36 CET)
The degree of collaboration among supply chain partners and the structure of the network are important determinants of the level of satisfaction customers derive from the products or services. However, the effects of these dimensions on customer satisfaction at the downstream section of the supply chain remain under-researched in Nigeria. This study precisely examined the effects of collaboration and supply chain design on customers’ satisfaction at the downstream end of the chain using Ekiti State as study area. The study employed descriptive survey design with the use of structured Likert scale questionnaire administered to 381 retailers of noodles in Ekiti State. The research hypotheses were analysed using simple linear regression as statistical technique with the aid of SPSS version 22.0. At the end of the study, it was observed that both collaboration and supply chain design were significant predictors of customers’ satisfaction of instant noodles in Ekiti State. However, collaboration among supply chain partners emerged as stronger determinant of customers’ satisfaction than supply chain design. The study concludes that these two practices of supply chain management are highly important criteria any manufacturing firm especially in the noodles industry must pay close attention to in order to satisfy her consumers.
ARTICLE | doi:10.20944/preprints201801.0050.v1
Subject: Social Sciences, Psychology Keywords: collaboration; social norms theory; emotional intelligence; quality of life; goal orientation; prosocial; internet education
Online: 8 January 2018 (08:49:59 CET)
This article assumes that collaborators who adopt a positive-sum, prosocial perspective can build trust-based relationships, which is equivalent to collaborative ability (CA). To improve a collaborator’s CA, we anticipated that content based upon a model of positive-sum collaboration, founded upon ancestral behaviours presented as social norms, might alter a zero-sum, proself, collaborator’s perspective. However, we also postulated that learner’s willingness to engage in positive-sum content may rely on pre-existing prosociality. Intervention participant’s prosociality was assessed via self-assessment of their emotional intelligence (EQ), quality of life (QoL), and goal orientation (GO). Learner’s engagement in online content was assessed by the three stage reached: examine website front matter; examine website content; learn website content. Tukey’s multiple comparison showed a statistically significant difference between stages one and three, in the mean of respondent’s self-assessed QoL. This suggests that participants who wished to learn content had, on average, higher quality of life, and potentially therefore greater prosociality. In general, these findings support a claim that any intervention designed to increase individual prosociality may need to consider the target population’s reticence to engage.
ARTICLE | doi:10.20944/preprints202309.0387.v1
Subject: Arts And Humanities, Humanities Keywords: college of arts and sciences; COVID-19 adaptation; internationalization; interdisciplinary collaboration; strategic planning; higher education
Online: 6 September 2023 (08:51:15 CEST)
In an ever-evolving landscape of higher education institution, the College of Arts and Sciences at St. Michael's College, Iligan City, Philippines, embarked on a strategic journey to navigate the challenges and opportunities of the post-pandemic era. This study, conducted in August 2022, delves into the multifaceted dimensions of their strategic planning processes. Through qualitative methods that use intensive in-depth reviews of literature, informal interviews, observation, and thematic analysis, this research unveils a narrative of adaptation, innovation, and internationalization. It explores how the institution resiliently adapted to the COVID-19 pandemic, leveraged technological advancements to enhance educational delivery, fostered interdisciplinary collaboration at the nexus of arts and sciences, and embraced internationalization through partnerships and cultural exchange. Anchored in a robust theoretical framework, this study resonates with broader trends in higher education, echoing the global call for agile, student-centric, and forward-thinking institutions. As this institution's journey unfolds, its experiences and lessons resonate with academic leaders, administrators, faculty, students, and stakeholders, inviting reflection and dialogue on the future of higher education.
ARTICLE | doi:10.20944/preprints202307.0700.v1
Subject: Public Health And Healthcare, Primary Health Care Keywords: sensor; Holter; monitoring; atrial fibrillation; health professionals; frail elderly; cross-sector collaboration; CardioShare model; C3+
Online: 11 July 2023 (11:49:45 CEST)
Background: Frail elderly patients are exposed to suffering the consequences of heart diseases that are not managed timely such as receiving anticoagulation to prevent stroke associated to atrial fibrillation (AF). Referral to the cardiological outpatient department can be cumbersome as it often requires repeated visits. The aim of this project was to use AF as a showcase to develop and implement CardioShare, a shared-care model where primary care leads patient management, using an easy-to-use compact Holter monitor device with asynchronous remote support from cardiologists. Methods: This complex intervention has been developed during a feasibility phase, tested in a pragmatic cluster-randomization trial (primary care clinic as clusters) and its implementation potential evaluated with an escalation test. Mixed methods were used to evaluate the impact of the intervention, comprising quantitative observations, semi-structured interviews, and workshops. Results: Between February 2020 and December 2021, 314 patients (30% frail) were included of whom 75% had AF diagnosed/not found within 13 days. More than 80% in both groups avoided referral to cardiologists. Patients felt safe and primary care clinicians satisfied. In the escalation test, 58 primary-care doctors used CardioShare to manage 93 patients over three months with remote support from four hospitals in the Capital Region of Denmark. Conclusions: CardioShare was successfully implemented for AF evaluation in primary care.
ARTICLE | doi:10.20944/preprints202010.0298.v2
Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: cosmic rays; cosmic ray ensembles; extensive air showers; large scale cosmic ray correlations; CREDO Collaboration
Online: 15 October 2020 (16:13:43 CEST)
The Cosmic Ray Extremely Distributed Observatory (CREDO) is a newly formed, global collaboration dedicated to observing and studying cosmic rays (CR) and cosmic ray ensembles (CRE): groups of a minimum of two CR with a common primary interaction vertex or the same parent particle. The CREDO program embraces testing known CR and CRE scenarios, and preparing to observe unexpected physics, it is also suitable for multi-messenger and multi-mission applications. Perfectly matched to CREDO capabilities, CRE could be formed both within classical models (e.g. as products of photon-photon interactions), and exotic scenarios (e.g. as results of decay of Super Heavy Dark Matter particles), their fronts might be significantly extended in space and time, and they might include cosmic rays of energies spanning the whole cosmic ray energy spectrum. CRE are expected to be partially observable on Earth even if the initiating interaction or process occurs as far as ~1 Gpc away. They would have a footprint composed of at least two extensive air showers with correlated arrival directions and arrival times. Since CRE are mostly expected to be spread over large areas and, because of the expected wide energy range of the contributing particles, CRE detection might only be feasible when using available cosmic ray infrastructure collectively, i.e. as a globally extended network of detectors. Thus, with this review article, the CREDO Collaboration invites the astroparticle physics community to actively join or to contribute to the research dedicated to CRE, and in particular to share any cosmic ray data useful for the specific CRE detection strategies.
ARTICLE | doi:10.20944/preprints202209.0402.v1
Subject: Computer Science And Mathematics, Mathematics Keywords: Rechargeable Sensor Network; Unmanned Aerial Vehicle; One-to-one Charging; Space-time Collaboration; Optimal Charging Trajectory
Online: 27 September 2022 (02:07:41 CEST)
Aiming at the problem of low charging efficiency caused by the scattered sensor nodes in traditional wireless rechargeable sensor networks (WRSNs), a UAV-assisted WRSN Online Charging Strategy Based on Dynamic Queue and Improved K-means (UOCS) is proposed. The scheme assumes that the energy consumption of nodes is unpredictable, and only generates charging requests when the energy is lower than a threshold, and performs on-demand responses to nodes that issue charging requests. The scheme combines the characteristics of one-to-one charging of UAVs, the selection and allocation timing of waiting queues and the number of UAVs, and the improved K-means partitioning based on space-time coordination(SPKM), which simplifies the problem of coordinated charging of multiple UAVs and maximizes energy. Using the efficiency and charging success rate, the optimal charging trajectory can be found under the constraint that the node will not starve to death due to power shortage. Finally, a simulation comparison experiment is carried out with the existing UAV charging scheduling strategy. UOCS achieves the optimal node survival rate with low algorithm complexity.
ARTICLE | doi:10.20944/preprints202302.0394.v1
Subject: Computer Science And Mathematics, Information Systems Keywords: business relationships; B2B collaboration; time management; VBA automation; macro programming; job satisfaction; performance; sustainable human resources management
Online: 23 February 2023 (02:23:30 CET)
The best business relationships are built as relationships between people and organizations that work together to achieve common goals. In the current digital era, B2B collaboration relationships are essential for business success. The response time to customer requests can be a key factor in maintaining these relationships and obtaining a competitive advantage. The use of VBA automation for repetitive tasks can help speed up this process, but it is important that computer operators have medium knowledge about using VBA macros. This work deals with issues related to improving response times to requests received by email, using a macro program for repetitive tasks. The empirical study was conducted on an average of 50 daily emails for order confirmation, with an average writing time of 68 s per email, resulting in a potential reduction in working time for the operator of approximately 1 h/day, only for order confirmation. The results show a significant improvement in working time for computer operators, using VBA buttons for repetitive tasks.
ARTICLE | doi:10.20944/preprints202301.0521.v1
Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ChatGPT; GPT-3; OpenAI; chatbots; digital health; artificial intelligence; automation; technological advancement; human-AI interaction; collaboration; open science
Online: 28 January 2023 (07:56:35 CET)
Artificial intelligence (AI) has the potential to revolutionize research by automating data analysis, generating new insights, and supporting the discovery of new knowledge. The top 10 contribution areas of AI towards public health were gathered in this feasibility study. We utilized the “text-davinci-003” model of GPT-3, using OpenAI playground default parameters. The model was trained with the largest training dataset any AI had, limited to a cut-off date in 2021. This study aimed to test the ability of GPT-3 to advance public health and to explore the feasibility of using AI as scientific co-author. The AI was asked for input including scientific quotations and the human authors reviewed responses for plausibility. We found that GPT-3 was able to assemble, summarize, and generate plausible text blocks relevant for public health concerns, elucidating valuable areas of application for itself. However, most quotations were invented by GPT-3 and thus, invalid. Ac-cording to today’s rules, we conclude that AI can contribute to public health research as a team member. Nevertheless, good scientific practice needs to be also followed for AI contributions, and a broad scientific discourse on AI contributions is needed. Policies for good scientific practice should be updated timely following this discourse.
ARTICLE | doi:10.20944/preprints202301.0474.v1
Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ChatGPT; GPT-3; global trends; OpenAI; chatbots; digital health; artificial intelligence; automation; technological advancement; human-AI interaction; collaboration
Online: 26 January 2023 (08:37:22 CET)
This paper examines the potential of Artificial Intelligence (AI) to address societal megatrends, with a specific focus on OpenAI’s Generative Pre-Trained Transformer 3 (GPT-3). To do this, we con-ducted an analysis using GPT-3 in order to explore the benefits of AI for digitalization, urbanization, globalization, climate change, automation and mobility, global health issues and aging population. We also looked at emerging markets as well as sustainability in this study. Interaction with GPT-3 was done solely through prompt questions and generated responses were analyzed. Our results indicate that AI can significantly improve our understanding of these trends by providing insights into how they develop over time and what solutions could be implemented. Further research is needed to determine how effective AI will be in addressing them successfully but initial findings are encouraging. Our discussion focuses on the implications of our findings for society going forward and suggests that further investigation should be done into how best to utilize new technologies like GPT-3 when tackling these challenges. Lastly, we conclude that while there is still much work left to do before any tangible effects can be seen from utilizing AI tools such as GPT-3 on societal mega-trends; early indications suggest it may have a positive impact if used correctly.
ARTICLE | doi:10.20944/preprints202111.0181.v1
Subject: Engineering, Control And Systems Engineering Keywords: human-robot interaction; human-robot collaboration; collaborative robots; motion planning; robot control; human motion prediction; human-following robots
Online: 9 November 2021 (14:12:17 CET)
Human-Robot Interaction (HRI) for collaborative robots has become an active research topic recently. Collaborative robots assist the human workers in their tasks and improve their efficiency. But the worker should also feel safe and comfortable while interacting with the robot. In this paper, we propose a human-following motion planning and control scheme for a collaborative robot which supplies the necessary parts and tools to a worker in an assembly process in a factory. In our proposed scheme, a 3-D sensing system is employed to measure the skeletal data of the worker. At each sampling time of the sensing system, an optimal delivery position is estimated using the real-time worker data. At the same time, the future positions of the worker are predicted as probabilistic distributions. A Model Predictive Control (MPC) based trajectory planner is used to calculate a robot trajectory that supplies the required parts and tools to the worker and follows the predicted future positions of the worker. We have installed our proposed scheme in a collaborative robot system with a 2-DOF planar manipulator. Experimental results show that the proposed scheme enables the robot to provide anytime assistance to a worker who is moving around in the workspace while ensuring the safety and comfort of the worker.
ARTICLE | doi:10.20944/preprints202303.0025.v1
Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: OpenAI; ChatGPT; GPT-3; text-davinci-003; chatbots; artificial intelligence; human-AI interface; collaboration; sustainability; social development; human development
Online: 1 March 2023 (14:17:24 CET)
Artificial Intelligence (AI) experienced significant advancements in recent years, and its impact is already recognized across various industries. Yet, the rise of AI has led to a growing concern about its impact on meeting the Sustainable Development Goals (SDGs). The aim of this paper was to evaluate contributions and the potential impact of AI to sustainable development in the society domain. Furthermore, the study analyzed GPT-3 responses, as one of the largest language models developed by OpenAI, descriptively. We conducted a set of queries on the SDGs to gather infor-mation on GPT-3`s perceptions of AI impact on sustainable development. Analysis of GPT-3’s contribution potential towards the SDGs showcased its broad range of capabilities for contributing to the SDGs in areas such as education, health, and communication. The study findings provide valuable insights into the contributions of AI to sustainable development in the society domain and highlight the importance of proper regulations to promote the responsible use of AI for sustainable development. We plan subsequent research for effects on ecologic and economic domains of SDGs. We highlighted the potential for improvement in neural language processing skills of GPT-3 by avoiding imitating weak human writing styles with more mistakes in longer texts.
ARTICLE | doi:10.20944/preprints202308.1992.v1
Subject: Social Sciences, Education Keywords: university business collaboration; critical thinking; curriculum co-design, development and delivery; employability; research project; labour market; higher education; soft skills
Online: 30 August 2023 (04:07:19 CEST)
University-Business partnership for collaborative curriculum design, development and delivery is possibly the less explored dimension of University Business Collaboration (UBC). Even if some models for curricular design and development might be available, scarce information exists on how the partnership is constructed, the new curricula are designed, developed and how they are implemented. This article intends to present and discuss the experience obtained during a three-year European funded Project, namely Think4Jobs. This project exemplifies the significance and benefits of UBC in the design, development and delivery of curricula that meet the evolving demands of the labour market while promoting Critical Thinking (CT) as a foundational 21st century skill to contribute to graduates' employability. Think4Jobs project brought together a multidisciplinary team of researchers and business organisations from five European countries (Germany, Greece, Lithuania, Portugal and Romania) with interests in promoting and developing CT and mitigating eventual competence gaps. The project's success was attributed to key practices, including defining a common conceptualization of CT, employing participatory co-design, and providing common training for university and business partners. Clear objectives, explicit roles, effective communication, and ongoing evaluation further enhanced the collaboration. Experiential learning, real-work problems, and case studies reinforced the curricula, bridging the gap between academia and the labour market. By embracing these insights, future UBC initiatives can empower graduates with the necessary skills to stand out in an ever-changing labour market, contributing to enhanced education and successful careers.
ARTICLE | doi:10.20944/preprints202302.0065.v1
Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: OpenAI; ChatGPT; GPT-3; text-davinci-003; chatbots; prediction; scenario planning; scenario generation; future research; artificial intelligence; human-AI interaction; collaboration
Online: 3 February 2023 (09:34:38 CET)
Artificial Intelligence (AI) has the power to generate scenarios and make predictions through the use of advanced algorithms and machine learning techniques. OpenAI’s GPT-3 AI is a state-of-the-art language model that has been trained on a large dataset of text, which allows it to generate hu-man-like text, and it can generate scenarios for different fields. However, GPT-3 was trained on data available up until June 2021, had no access to more recent data nor was connected to the internet. In this study, we investigated the capability of OpenAI’s GPT-3 AI to predict the Ukrainian war es-calation, which started in 2022 and had massive geopolitical effects. We used GPT-3´s capability to generate future scenarios, to check those scenarios for internal consistency, and to create a proba-bility estimate. The results showed that although GPT-3 described an open war as one of the low probability scenarios, its capability on predicting the future was limited. Furthermore, it became evident that checking internal consistency of the generated scenarios could be improved. We ap-preciated GPT-3 as very useful and powerful for generating future scenarios, but also concluded that its prediction capabilities of real-world events are limited, should be used with caution, and require further development.
REVIEW | doi:10.20944/preprints202310.0049.v2
Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Human-Robot Collaboration (HRC); manufacturing assembly; task allocation, reinforcement learning; Cyber-Physical Systems (CPS); Industry 4.0; robotic assembly sequence planning; collaborative robotics
Online: 7 October 2023 (09:25:01 CEST)
The paper provides a comprehensive review of the recent advancements and methodologies in Human-Robot Collaboration (HRC) applied to the manufacturing assembly process. In modern manufacturing, the assembly process involves intricate and time-consuming operations, often necessitating flexible manual interventions. However, the cost and stability issues associated with manual labor highlight the need for collaborative solutions integrating humans and robots. HRC, as a viable solution, involves the joint effort of humans and robots in manufacturing tasks, presenting advantages in terms of precision, reproducibility, and cycle time. This review categorizes and discusses methodologies such as task allocation, reinforcement learning, and Cyber-Physical Systems (CPS)-based planning approaches that facilitate HRC in the assembly process. It also explores experiments and future trends to address challenges and enhance efficiency in manufacturing assembly through intelligent collaboration between humans and robots. The objective of this research is to provide insights and directions for further research in HRC to optimize manufacturing processes. By analyzing the existing state-of-the-art and presenting future prospects, this paper aims to guide researchers and practitioners toward more effective implementations of HRC in manufacturing assembly, ultimately leading to improved operational efficiency and productivity.
ARTICLE | doi:10.20944/preprints202111.0241.v1
Subject: Engineering, Marine Engineering Keywords: Collaborative robotics; Human-Robot Collaboration (HRC); Knowledge-Based Approach (KBA); collaborative workplace design; systematic layout planning; digital layout optimization; what-if analysis.
Online: 12 November 2021 (17:17:02 CET)
The innovation driven Industry 5.0, in agreement with Industry 4.0, leads to consider human in a prominence position as the center of manufacturing field. This pushes towards the hybridization of manufacturing plants promoting a fully collaboration between human and robot. Furthermore, the new paradigm of "human centred design" and "anthropocentric design" allows enabling a synergistic combination of human and robot skills. However, properly collaborative workplaces are currently very few. Industry is still not confident, and systems integrators hesitate to venture into Human-Robot Collaboration (HRC). Despite the effort in collaborative robotics, a general solution to overcome the current limitations in designing of collaborative workplaces still misses. In the current work, a Knowledge-Based Approach (KBA) is adopted to face collaborative workplace designing problem. The framework resulting from the KBA allows developing a modelling paradigm that enable to define a streamlined approach for the layout designing of a collaborative workplace. Finally, a what-if analysis and a ANOVA analysis are performed to generate and evaluate a set of scenarios related to a collaborative workplace for quality inspection of welded parts. Facing the high complexity and multidisciplinary of HRC can be conveyed to develop a general design approach aimed at overcoming the difficulties that limit the spread of HRC in the manufacturing field.
REVIEW | doi:10.20944/preprints201805.0484.v1
Subject: Engineering, Electrical And Electronic Engineering Keywords: deep learning; deep convolutional neural networks; dcnn; convolutional neural networks; cnn; robot learning; transfer learning; robotic grasping; robotic grasp detection; human-robot collaboration
Online: 31 May 2018 (17:27:23 CEST)
In order for robots to attain more general-purpose utility, grasping is a necessary skill to master. Such general-purpose robots may use their perception abilities in order to visually identify grasps for a given object. A grasp describes how a robotic end-effector can be arranged on top of an object to securely grab it between the robotic gripper and successfully lift it without slippage. Traditionally, grasp detection requires expert human knowledge to analytically form the task-specific algorithm, but this is an arduous and time-consuming approach. During the last five years, deep learning methods have enabled significant advancements in robotic vision, natural language processing, and automated driving applications. The successful results of these methods have driven robotics researchers to explore the application of deep learning methods in task generalised robotic applications. This paper reviews the current state-of-the-art in regards to the application of deep learning methods to generalised robotic grasping and discusses how each element of the deep learning approach has improved the overall performance of robotic grasp detection. A number of the most promising approaches are evaluated and the most successful for grasp detection is identified as the one-shot detection method. The availability of suitable volumes of appropriate training data is identified as a major obstacle for effective utilisation of the deep learning approaches, and the use of transfer learning techniques is identified as a potential mechanism to address this. Finally, current trends in the field and future potential research directions are discussed.
ARTICLE | doi:10.20944/preprints202012.0803.v1
Subject: Social Sciences, Education Keywords: educational concept; green business school; new green deal; interdisciplinary capacity and movement building; green failure; young generation collaboration network; prevent big ideas from failure, theory U, science and action-based research, design thinking
Online: 31 December 2020 (12:44:11 CET)
This article addresses the question why initiatives in the field of green business and sustainable development often fail. Therefore, it dismantles some typical patterns of failure and shows – as a case study – how these patterns can be challenged through an innovative educational concept: the green business and sustainable development school. The applied methodology is a real-life project that is designed through blended, interdisciplinary elements from business model canvas, Theory U, participation and design thinking. The results of the school initiative are discussed and evaluated by four distinctive stakeholder groups and outline the school’s supporting potential to overcome typical patterns of failure by the younger generation in the future. This article concludes with ideas to enhance the school concept reaching out to even more stakeholder-groups to increase its reliability and viability.